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2017-18 Luxembourg National Division Season

182 games

Final

Champion

F91 Dudelange

68 points

Relegated

No relegation

Biggest Overachiever

F91 Dudelange

10.62 points above expected

68 points · 57.38 expected points

Biggest Disappointment

US Esch

14.07 points below expected

4 points · 18.07 expected points

League Table

The final standings for the season. vsSim shows actual points minus the simulation's mean — positive means the team overachieved against the model, negative means they underperformed.

# Team GP W D L Pts GF GA GD SimPts vsSim
1 F91 Dudelange 26 22 2 2 68 81 26 +55 57.38 +10.62
2 Progres Niedercorn 26 20 3 3 63 72 28 +44 53.04 +9.96
3 Fola Esch 26 14 5 7 47 72 41 +31 49.90 -2.90
4 Jeunesse Esch 26 13 5 8 44 52 35 +17 39.97 +4.03
5 Differdange 03 26 11 5 10 38 48 38 +10 47.52 -9.52
6 Mondorf-les-Bains 26 10 8 8 38 40 36 +4 32.40 +5.60
7 Racing FC Union Luxembourg 26 9 8 9 35 41 40 +1 33.83 +1.17
8 Hostert 26 9 7 10 34 37 46 -9 33.55 +0.45
9 Union Titus Petange 26 9 4 13 31 43 51 -8 34.15 -3.15
10 RM Hamm Benfica 26 8 6 12 30 30 45 -15 31.70 -1.70
11 UNA Strassen 26 8 5 13 29 38 60 -22 24.53 +4.47
12 Victoria Rosport 26 7 5 14 26 37 59 -22 27.47 -1.47
13 Rodange 91 26 4 10 12 22 27 55 -28 23.90 -1.90
14 US Esch 26 1 1 24 4 15 73 -58 18.07 -14.07

Top Overachievers & Disappointments

Teams that most beat — or most fell short of — their simulated point projections. A positive vsSim means the team accumulated more points than the model expected on average; a negative one means fewer.

Biggest Overachievers

# Team Actual Sim vsSim
1 F91 Dudelange 68 57.38 +10.62
2 Progres Niedercorn 63 53.04 +9.96
3 Mondorf-les-Bains 38 32.40 +5.60
4 UNA Strassen 29 24.53 +4.47
5 Jeunesse Esch 44 39.97 +4.03

Biggest Disappointments

# Team Actual Sim vsSim
1 US Esch 4 18.07 -14.07
2 Differdange 03 38 47.52 -9.52
3 Union Titus Petange 31 34.15 -3.15
4 Fola Esch 47 49.90 -2.90
5 Rodange 91 22 23.90 -1.90

Top Streaks

Ranked by model unlikelihood — the product of pregame W/D/L probabilities over the games in each team's streak. A short streak by a poor team can outrank a longer one by a strong team since the poor team's per-game probabilities were lower going in. Unbeaten counts consecutive wins or ties; Winless counts consecutive losses or ties.

Most Unlikely Winning Streaks

# Team Games Dates Probability
1 Jeunesse Esch 5 Mar 11 – Apr 8 1 in 74
2 F91 Dudelange 10 Mar 18 – May 19 1 in 51
3 Rodange 91 3 Aug 14 – Aug 24 1 in 46
4 Racing FC Union Luxembourg 4 Apr 11 – Apr 28 1 in 36
5 UNA Strassen 3 Mar 18 – Apr 6 1 in 35

Most Unlikely Losing Streaks

# Team Games Dates Probability
1 US Esch 12 Sep 10 – Mar 14 1 in 241
2 Victoria Rosport 5 Aug 20 – Sep 30 1 in 83
3 Union Titus Petange 4 Mar 18 – Apr 11 1 in 38
4 Hostert 3 Sep 9 – Oct 1 1 in 22
5 RM Hamm Benfica 4 Apr 22 – May 13 1 in 9

Most Unlikely Unbeaten Streaks

# Team Games Dates Probability
1 Hostert 7 Oct 15 – Mar 7 1 in 57
2 UNA Strassen 4 Mar 14 – Apr 6 1 in 35
3 Rodange 91 4 Aug 5 – Aug 24 1 in 19
4 Jeunesse Esch 6 Mar 11 – Apr 11 1 in 12
5 Mondorf-les-Bains 5 Oct 22 – Feb 18 1 in 12

Most Unlikely Winless Streaks

# Team Games Dates Probability
1 US Esch 22 Sep 10 – May 19 1 in 34
2 Fola Esch 4 Aug 6 – Aug 24 1 in 30
3 Rodange 91 11 Sep 10 – Mar 10 1 in 22
4 Mondorf-les-Bains 6 Apr 8 – Apr 29 1 in 20
5 Hostert 5 Sep 9 – Oct 22 1 in 15

Position Race

Each team’s league position across the whole season. Colored teams are the season’s headline finishers — champion, promoted, and relegated; everyone else is gray as context.

Recent Form

Each team’s last 5 games, hottest first. Form shows the results (navy win, gray draw, red loss, newest on the right); the bars show Elo change over the window, points taken, points expected from the odds, and actual minus expected. Beside each team: current Elo and season points.

Team Elo Season Pts Form Elo Δ (5) Points (5) Expected (5) Actual − Exp
F91 Dudelange 1521 68 +51 15 12.3 +2.7
Progres Niedercorn 1427 63 +40 15 11.7 +3.3
Fola Esch 1346 47 +4 10 10.9 -0.9
Jeunesse Esch 1251 44 -12 7 9.3 -2.3
Mondorf-les-Bains 1179 38 +35 10 8.9 +1.1
Differdange 03 1179 38 -110 4 9.0 -5.0
Racing FC Union Luxembourg 1193 35 +13 8 7.7 +0.3
Hostert 1044 34 -41 4 5.4 -1.4
Union Titus Petange 1103 31 +5 6 5.3 +0.7
RM Hamm Benfica 1011 30 -65 3 4.2 -1.2
UNA Strassen 1110 29 +83 9 5.1 +3.9
Victoria Rosport 1064 26 +52 8 4.0 +4.0
Rodange 91 960 22 -16 2 3.1 -1.1
US Esch 797 4 -31 0 2.0 -2.0

Head-to-Head

Each cell shows a team's record in that matchup (row vs column, formatted W-D-L) with the model's expected points on the line below. Navy-tinted cells mean the team beat the model's expectations by more than one point in that matchup; gold-tinted cells mean they fell short by the same margin.

Beat expectations Fell short Within expectations
Team D0 FD FE HOS JE MON PN RHB RFUL R9 US UE UTP VR
Differdange 03 —
0-1-1
1.44
0-0-2
2.86
0-1-1
4.15
1-0-1
3.72
1-0-1
3.71
0-0-2
2.40
1-1-0
4.06
1-1-0
4.11
1-0-1
4.40
1-1-0
4.42
2-0-0
4.94
1-0-1
4.01
2-0-0
4.19
F91 Dudelange
1-1-0
4.15
 —
2-0-0
3.63
1-0-1
4.73
1-0-1
4.10
2-0-0
4.50
2-0-0
3.10
2-0-0
4.50
1-1-0
4.71
2-0-0
4.78
2-0-0
5.00
2-0-0
5.27
2-0-0
4.70
2-0-0
4.74
Fola Esch
2-0-0
2.71
0-0-2
1.95
 —
1-0-1
4.09
0-2-0
3.70
1-1-0
4.15
0-0-2
2.80
2-0-0
4.12
0-1-1
4.09
2-0-0
4.63
2-0-0
4.43
2-0-0
4.70
2-0-0
3.86
0-1-1
4.42
Hostert
1-1-0
1.44
1-0-1
0.92
1-0-1
1.51
 —
0-0-2
2.54
0-1-1
3.13
0-1-1
1.07
1-0-1
2.58
1-1-0
2.95
0-2-0
3.39
0-0-2
3.95
2-0-0
4.21
1-1-0
2.65
1-0-1
3.46
Jeunesse Esch
1-0-1
1.85
1-0-1
1.49
0-2-0
1.88
2-0-0
3.03
 —
1-1-0
3.68
0-0-2
1.77
1-0-1
3.62
1-0-1
3.50
1-1-0
4.18
2-0-0
4.07
2-0-0
4.01
0-1-1
3.65
1-0-1
4.16
Mondorf-les-Bains
1-0-1
1.87
0-0-2
1.11
0-1-1
1.45
1-1-0
2.44
0-1-1
1.90
 —
0-1-1
1.31
0-2-0
2.47
1-0-1
2.91
1-1-0
3.27
1-0-1
3.75
2-0-0
4.40
1-1-0
2.66
2-0-0
3.33
Progres Niedercorn
2-0-0
3.18
0-0-2
2.47
2-0-0
2.77
1-1-0
4.55
2-0-0
3.81
1-1-0
4.29
 —
1-0-1
4.49
2-0-0
3.98
2-0-0
4.81
1-1-0
4.43
2-0-0
4.89
2-0-0
4.33
2-0-0
4.56
RM Hamm Benfica
0-1-1
1.53
0-0-2
1.12
0-0-2
1.47
1-0-1
2.99
1-0-1
1.95
0-2-0
3.10
1-0-1
1.12
 —
0-0-2
2.66
1-1-0
3.48
0-1-1
3.57
2-0-0
3.88
2-0-0
1.98
0-1-1
3.35
Racing FC Union Luxembourg
0-1-1
1.48
0-1-1
0.92
1-1-0
1.50
0-1-1
2.62
1-0-1
2.08
1-0-1
2.66
0-0-2
1.61
2-0-0
2.92
 —
1-1-0
3.55
1-1-0
3.36
1-1-0
3.92
0-0-2
2.88
1-1-0
3.25
Rodange 91
1-0-1
1.20
0-0-2
0.86
0-0-2
1.00
0-2-0
2.19
0-1-1
1.41
0-1-1
2.31
0-0-2
0.83
0-1-1
2.10
0-1-1
2.03
 —
0-1-1
1.89
2-0-0
3.31
1-1-0
2.04
0-2-0
2.43
UNA Strassen
0-1-1
1.18
0-0-2
0.67
0-0-2
1.19
2-0-0
1.64
0-0-2
1.52
1-0-1
1.83
0-1-1
1.20
1-1-0
2.02
0-1-1
2.22
1-1-0
3.69
 —
2-0-0
3.52
1-0-1
1.97
0-0-2
2.56
US Esch
0-0-2
0.72
0-0-2
0.45
0-0-2
0.93
0-0-2
1.39
0-0-2
1.62
0-0-2
1.20
0-0-2
0.77
0-0-2
1.70
0-1-1
1.67
0-0-2
2.27
0-0-2
2.06
 —
0-0-2
1.56
1-0-1
1.76
Union Titus Petange
1-0-1
1.58
0-0-2
0.93
0-0-2
1.73
0-1-1
2.92
1-1-0
1.92
0-1-1
2.91
0-0-2
1.27
0-0-2
3.59
2-0-0
2.69
0-1-1
3.54
1-0-1
3.60
2-0-0
4.04
 —
2-0-0
2.87
Victoria Rosport
0-0-2
1.40
0-0-2
0.90
1-1-0
1.19
1-0-1
2.12
1-0-1
1.44
0-0-2
2.24
0-0-2
1.05
1-1-0
2.22
0-1-1
2.33
0-2-0
3.14
2-0-0
3.01
1-0-1
3.82
0-0-2
2.70
 —

Points vs. Goals Scored, Allowed, and Differential

Points plotted against goals scored, allowed, and differential. Use the buttons to switch views; hover a team for exact values. The table gives each fit's R² and slope (the change in points per 10 goals).

Fit Metrics

R² Slope
Scored 0.90 +8.2
Allowed 0.84 -11.2
Differential 0.97 +5.3

Scoreline Distribution

Percentage of games ending with each combination of team-goals (rows) and opponent-goals (columns). The diagonal shows draws; cells below the diagonal are wins from the row team's perspective, cells above are losses. Marginal totals on the right and bottom show how often each goal count occurred regardless of opponent. Use the picker to switch between the league-wide view and any individual team.

↓ Scored | Allowed →012345+Total
04.40%3.85%4.67%2.75%2.47%1.92%20.05%
13.85%10.44%8.52%5.22%1.92%1.65%31.59%
24.67%8.52%3.85%3.57%1.92%0.55%23.08%
32.75%5.22%3.57%1.65%0.55%0.27%14.01%
42.47%1.92%1.92%0.55%——6.87%
5+1.92%1.65%0.55%0.27%——4.40%
Total20.05%31.59%23.08%14.01%6.87%4.40%100%

Summary Statistics

Scored Allowed Difference
Mean 1.74 1.74 +0.00
SD 1.50 1.50 2.36
CV 0.86 0.86 —
Max 9 9 +9
Min 0 0 -9

Games Played: 182

↓ Scored | Allowed →012345+Total
07.69%3.85%11.54%——3.85%26.92%
13.85%3.85%11.54%3.85%——23.08%
27.69%7.69%7.69%———23.08%
33.85%————3.85%7.69%
43.85%3.85%————7.69%
5+3.85%7.69%————11.54%
Total30.77%26.92%30.77%3.85%—7.69%100%

Summary Statistics

Scored Allowed Difference
Mean 1.85 1.46 +0.38
SD 1.76 1.61 2.62
CV 0.95 1.10 —
Max 6 6 +5
Min 0 0 -6

Games Played: 26

↓ Scored | Allowed →012345+Total
03.85%—————3.85%
1—3.85%3.85%3.85%——11.54%
211.54%7.69%————19.23%
3—11.54%15.38%———26.92%
415.38%3.85%3.85%3.85%——26.92%
5+7.69%3.85%————11.54%
Total38.46%30.77%23.08%7.69%——100%

Summary Statistics

Scored Allowed Difference
Mean 3.12 1.00 +2.12
SD 1.63 0.98 2.07
CV 0.52 0.98 —
Max 7 3 +7
Min 0 0 -2

Games Played: 26

↓ Scored | Allowed →012345+Total
0——3.85%———3.85%
17.69%11.54%11.54%———30.77%
23.85%3.85%—3.85%3.85%—15.38%
33.85%3.85%7.69%7.69%3.85%—26.92%
43.85%3.85%————7.69%
5+3.85%3.85%3.85%3.85%——15.38%
Total23.08%26.92%26.92%15.38%7.69%—100%

Summary Statistics

Scored Allowed Difference
Mean 2.77 1.58 +1.19
SD 2.10 1.24 2.51
CV 0.76 0.79 —
Max 9 4 +9
Min 0 0 -2

Games Played: 26

↓ Scored | Allowed →012345+Total
011.54%—3.85%3.85%——19.23%
1—7.69%7.69%7.69%3.85%3.85%30.77%
23.85%19.23%7.69%3.85%3.85%—38.46%
3—11.54%————11.54%
4———————
5+———————
Total15.38%38.46%19.23%15.38%7.69%3.85%100%

Summary Statistics

Scored Allowed Difference
Mean 1.42 1.77 -0.35
SD 0.95 1.45 1.79
CV 0.66 0.82 —
Max 3 6 +2
Min 0 0 -5

Games Played: 26

↓ Scored | Allowed →012345+Total
03.85%7.69%7.69%3.85%——23.08%
1—7.69%7.69%3.85%——19.23%
2—11.54%————11.54%
37.69%11.54%—7.69%——26.92%
47.69%3.85%7.69%———19.23%
5+———————
Total19.23%42.31%23.08%15.38%——100%

Summary Statistics

Scored Allowed Difference
Mean 2.00 1.35 +0.65
SD 1.50 0.98 1.96
CV 0.75 0.73 —
Max 4 3 +4
Min 0 0 -3

Games Played: 26

↓ Scored | Allowed →012345+Total
015.38%3.85%7.69%—3.85%—30.77%
13.85%15.38%3.85%———23.08%
23.85%——3.85%7.69%—15.38%
37.69%11.54%3.85%———23.08%
4——3.85%3.85%——7.69%
5+———————
Total30.77%30.77%19.23%7.69%11.54%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.54 1.38 +0.15
SD 1.36 1.33 1.74
CV 0.89 0.96 —
Max 4 4 +3
Min 0 0 -4

Games Played: 26

↓ Scored | Allowed →012345+Total
03.85%—————3.85%
115.38%7.69%—7.69%——30.77%
2—11.54%—3.85%——15.38%
33.85%7.69%7.69%———19.23%
43.85%—7.69%———11.54%
5+7.69%7.69%3.85%———19.23%
Total34.62%34.62%19.23%11.54%——100%

Summary Statistics

Scored Allowed Difference
Mean 2.77 1.08 +1.69
SD 1.88 1.02 2.15
CV 0.68 0.94 —
Max 7 3 +6
Min 0 0 -2

Games Played: 26

↓ Scored | Allowed →012345+Total
07.69%7.69%—7.69%3.85%3.85%30.77%
13.85%11.54%11.54%7.69%——34.62%
211.54%3.85%3.85%——3.85%23.08%
3—7.69%3.85%———11.54%
4———————
5+———————
Total23.08%30.77%19.23%15.38%3.85%7.69%100%

Summary Statistics

Scored Allowed Difference
Mean 1.15 1.73 -0.58
SD 1.01 1.59 2.06
CV 0.87 0.92 —
Max 3 6 +2
Min 0 0 -6

Games Played: 26

↓ Scored | Allowed →012345+Total
03.85%—3.85%———7.69%
17.69%15.38%15.38%———38.46%
27.69%11.54%7.69%7.69%7.69%—42.31%
33.85%—3.85%3.85%——11.54%
4———————
5+———————
Total23.08%26.92%30.77%11.54%7.69%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.58 1.54 +0.04
SD 0.81 1.21 1.28
CV 0.51 0.78 —
Max 3 4 +3
Min 0 0 -2

Games Played: 26

↓ Scored | Allowed →012345+Total
03.85%7.69%3.85%3.85%3.85%3.85%26.92%
13.85%23.08%3.85%3.85%—7.69%42.31%
23.85%7.69%11.54%7.69%——30.77%
3———————
4———————
5+———————
Total11.54%38.46%19.23%15.38%3.85%11.54%100%

Summary Statistics

Scored Allowed Difference
Mean 1.04 2.12 -1.08
SD 0.77 1.88 2.15
CV 0.74 0.89 —
Max 2 7 +2
Min 0 0 -7

Games Played: 26

↓ Scored | Allowed →012345+Total
0—3.85%—3.85%7.69%7.69%23.08%
13.85%11.54%3.85%7.69%11.54%—38.46%
2—11.54%7.69%3.85%——23.08%
33.85%—3.85%———7.69%
4——3.85%———3.85%
5+3.85%—————3.85%
Total11.54%26.92%19.23%15.38%19.23%7.69%100%

Summary Statistics

Scored Allowed Difference
Mean 1.46 2.31 -0.85
SD 1.39 1.62 2.65
CV 0.95 0.70 —
Max 6 6 +6
Min 0 0 -6

Games Played: 26

↓ Scored | Allowed →012345+Total
0—15.38%7.69%15.38%7.69%3.85%50.00%
1—3.85%15.38%11.54%7.69%3.85%42.31%
2—3.85%—3.85%——7.69%
3———————
4———————
5+———————
Total—23.08%23.08%30.77%15.38%7.69%100%

Summary Statistics

Scored Allowed Difference
Mean 0.58 2.81 -2.23
SD 0.64 1.77 1.92
CV 1.12 0.63 —
Max 2 9 +1
Min 0 1 -9

Games Played: 26

↓ Scored | Allowed →012345+Total
0—3.85%7.69%———11.54%
13.85%7.69%11.54%7.69%—3.85%34.62%
27.69%11.54%3.85%7.69%3.85%—34.62%
33.85%—3.85%3.85%3.85%—15.38%
4—3.85%————3.85%
5+———————
Total15.38%26.92%26.92%19.23%7.69%3.85%100%

Summary Statistics

Scored Allowed Difference
Mean 1.65 1.96 -0.31
SD 1.02 1.56 1.91
CV 0.62 0.80 —
Max 4 7 +3
Min 0 0 -6

Games Played: 26

↓ Scored | Allowed →012345+Total
0——7.69%—7.69%3.85%19.23%
1—15.38%11.54%7.69%3.85%3.85%42.31%
23.85%7.69%3.85%3.85%—3.85%23.08%
3—7.69%————7.69%
4—7.69%————7.69%
5+———————
Total3.85%38.46%23.08%11.54%11.54%11.54%100%

Summary Statistics

Scored Allowed Difference
Mean 1.42 2.27 -0.85
SD 1.14 1.56 2.31
CV 0.80 0.69 —
Max 4 6 +3
Min 0 0 -5

Games Played: 26

Season Summary

Every team's regular-season finish compared against 100,000 simulations. Click any column header to sort. Luck is the team's actual points minus the sim's mean — positive means the team beat the model. Percentile is where the actual result fell in the team's sim distribution (e.g. 90% = the team did this well or better in only 10% of sims).

Team Elo Points Avg Luck Percentile Min 5th Q1 Median Q3 95th Max
F91 Dudelange 1521 68 57.38 +10.62 96.0% 43 49 54 57 61 66 72
Progres Niedercorn 1427 63 53.04 +9.96 97.0% 42 43 49 53 57 61 66
Fola Esch 1346 47 49.90 -2.90 38.0% 35 39 46 49 54 61 67
Jeunesse Esch 1251 44 39.97 +4.03 75.0% 21 28 35 40 44 51 54
Racing FC Union Luxembourg 1193 35 33.83 +1.17 57.0% 19 24 30 34 38 43 48
Differdange 03 1179 38 47.52 -9.52 8.0% 32 36 43 47 51 59 64
Mondorf-les-Bains 1179 38 32.40 +5.60 77.0% 15 22 27 32 37 44 46
UNA Strassen 1110 29 24.53 +4.47 80.0% 10 15 20 24 28 34 38
Union Titus Petange 1103 31 34.15 -3.15 33.0% 22 26 30 34 38 44 46
Victoria Rosport 1064 26 27.47 -1.47 50.0% 13 20 23 26 31 38 42
Hostert 1044 34 33.55 +0.45 60.0% 16 21 30 33 38 43 55
RM Hamm Benfica 1011 30 31.70 -1.70 45.0% 15 21 28 31 36 42 45
Rodange 91 960 22 23.90 -1.90 41.0% 9 15 21 24 28 33 36
US Esch 797 4 18.07 -14.07 0.0% 8 9 14 18 21 28 32

Point Totals in Context

How did each team's actual results compare to their simulated points, Elo rating, average opponent Elo, and percentile within simulated outcomes? Use the buttons to switch between views. In each chart, dashed crosshairs at the league means split the plot into four quadrants: pastel green (team did well, model agreed), pastel red (team did poorly, model agreed), and pastel yellow (model and reality disagreed).

Home-Field Advantage Edge

The simulation applies the same home-field boost to every game across the league, so the per-game home win probabilities bake in the model's idea of HFA. For each team, we sum expected points at home and compare to actual home points, and the same on the road. The bar shows (home points above expected) minus (away points above expected). A tall positive bar means the team's home/road split exceeded what the model predicted — a real fortress effect. A tall negative bar means the reverse: they played worse at home or better on the road than expected.

Season Trends

How each metric evolved across the season - Elo rating, actual and projected points, title/promotion probability, and relegation probability - day by day.

Edges & Scoring

How these are measured

The navy dot is the actual value, the gold line and key are the model's reference where one applies, and the slate ticks are the cutoffs between read labels listed under each metric.

Home Edge
Share of matches won by the home team minus the share won by the away team.
No Edge: under 7% * Slight Edge: 7% to 11.5% * Clear Edge: 11.5% to 16.5% * Strong Edge: 16.5% and up.
Elo Value
Number of Elo rating points one goal is worth. A team this many Elo points better than another is expected to win by one goal on a neutral field.
Scoring Tilt
Average home goals minus average away goals per match. The gold line is the home goals edge implied by the scoring value of an Elo point and the home-field Elo bonus.
Road-Tilted: under -0.2 * Neutral: -0.2 to 0.5 * Home-Tilted: 0.5 to 1.2 * Strong Home: 1.2 and up.
Home Edge
HomeDrawAway
+9.34%
Slight Edge
44.51%20.33%35.16%
Elo Value
Home Edge: 32.55 Elo pts.
157 Elo
0.006 goals per Elo point
0400
Scoring Tilt
Expected
+0.26 goals
Neutral
-2+0.21+2

Title Race

How these are measured

The navy dot is the actual value, the gold line and key are the model's reference where one applies, and the slate ticks are the cutoffs between read labels listed under each metric.

Title-Race Openness
Effective number of teams with a live shot at finishing 1st, from the simulation. 1 means the favorite is a near-lock; larger means a wide-open race. Equal to 1 divided by the sum of squared title odds.
One-Team Race: under 2 * Top-Heavy: 2 to 3 * Open: 3 to 4 * Wide Open: 4 and up.
Champion Preseason Odds
Preseason probability that the eventual champion would finish 1st, from the simulation. The dot marks their rank across all teams, from longshot to favorite.
Preseason Favorite: 1st * Among the Favorites: 2nd to 3rd * Middle of the Pack: 4th to 7th * Longshot: 8th or lower.
Title Margin
Points-per-game gap between the champion and the runner-up. Shown per game so it reads the same across long and short seasons. The gold line is the winning margin the model expected, so a dot to the right means a more one-sided race than projected. A title won on goal difference shows 0.00.
Photo Finish: under 0.05 * Tight Race: 0.05 to 0.17 * Comfortable: 0.17 to 0.27 * Runaway: 0.27 and up.
Title-Race Openness
2.5
Top-Heavy
123410
Champion Preseason Odds
58%
F91 Dudelange, 1st of 14
LongshotFavorite
Title Margin
Expected
0.19/gm
Comfortable
00.210.5/gm

Simulation-Based Surprises

How these are measured

The navy dot is the actual value, the gold line and key are the model's reference where one applies, and the slate ticks are the cutoffs between read labels listed under each metric.

Luck Spread
Standard deviation of the gap between each team's actual points and their simulated average points. The gold line is the spread the model expected from chance alone.
As Expected: under 4.87 * Some Luck: 4.87 to 7.31 * Lucky: 7.31 to 9.74 * Wild Swing: 9.74 and up.
Average Finish Error
Average gap between where each team was projected to finish and where they actually finished in the table.
Pinpoint: under 1.23 * Close: 1.23 to 1.85 * Off: 1.85 to 2.46 * Way Off: 2.46 and up.
Biggest Overachiever
The team that finished highest inside its own range of simulated outcomes. The gold line is where the top team in a league of 14 typically lands.
Biggest Underachiever
The team that finished lowest inside its own range of simulated outcomes. The gold line is where the bottom team in a league of 14 typically lands.
Season Outliers
Number of teams that finished above the 95th or below the 5th percentile of their own simulated range. Even a well-calibrated model expects about 10% of teams in the extremes.
Minimal Outliers: under 14 * As Expected: 14 to 22.4 * Several Outliers: 22.4 to 30.8 * Many Outliers: 30.8 and up.
Luck Spread
Expected
6.53 points
Some Luck
06.0915
Average Finish Error
Expected
0.71
Pinpoint
01.544
Biggest Overachiever
Expected 96.43%
97.00%
Progres Niedercorn
50100
Biggest Underachiever
Expected 3.57%
0.00%
US Esch
050
Season Outliers
Expected
3 of 14
Minimal Outliers
01.47

Parity

How these are measured

The navy dot is the actual value, the gold line and key are the model's reference where one applies, and the slate ticks are the cutoffs between read labels listed under each metric.

Gini Index
How evenly points were spread across the league. Lower means a tight, balanced table; higher means a few teams ran off with most of the points.
Balanced: under 0.17 * Even: 0.17 to 0.19 * Top-Heavy: 0.19 to 0.21 * Lopsided: 0.21 and up.
Noll-Scully
Take a league where every match is a coin flip and nobody is better than anybody. You would still get a table, with a leader and a bottom club, purely by luck, and you can work out how far apart that table would be. This is the real table measured against it. At 1.00 the season was no more spread out than pure chance; at 2.00 it was twice as spread out, which takes genuine differences in quality. Dividing by the luck figure is what makes seasons of different lengths comparable, because a short season spreads a table by luck alone far more than a long one does. Elo SD in the corner is the same question in rating points: how far apart the teams finished on the ratings.
Coin-Flip Parity: under 1.65 * Moderate Separation: 1.65 to 1.85 * Strong Separation: 1.85 to 2.05 * Wide Separation: 2.05 and up.
Interquartile Edge
Chance the team at the 75th percentile of Elo would beat the team at the 25th percentile on a neutral field. Higher means a bigger gap between the upper and lower half of the table.
Even: under 68% * Slight Edge: 68% to 72.5% * Clear Edge: 72.5% to 78% * Wide Edge: 78% and up.
Best vs. Worst
Chance the top-rated team would beat the bottom-rated team on a neutral field. The gold line is how large that gap tends to be in a league of this size; a dot to the right flags an unusually dominant or unusually weak team.
Even: under 89.5% * Clear Edge: 89.5% to 92% * Strong Edge: 92% to 95% * Dominant: 95% and up.
Close Games
Share of matches decided by 1 goal or fewer, draws included. The gold line is how many close games the matchups and the scoring value of an Elo point predict.
Few: under 49% * Some Drama: 49% to 53% * Frequent: 53% to 56% * Very Frequent: 56% and up.
Blowouts
Share of matches decided by 3 goals or more. The gold line is how many routs the matchups and the scoring model predict.
Rare: under 23% * Occasional: 23% to 26% * Frequent: 26% to 28% * Very Frequent: 28% and up.
Gini Index
0.23
Lopsided
00.170.5
Noll-Scully
Elo SD: 189.76
2.34
Wide Separation
11.651.852.052.5
Interquartile Edge
75%
Clear Edge
50%68%78%100%
Best vs. Worst
Baseline 98%
98%
Dominant
50%100%
Close Games
Expected
53%
Frequent
0%48%100%
Blowouts
Expected
23%
Occasional
0%29%100%

Predictability

How these are measured

The navy dot is the actual value, the gold line and key are the model's reference where one applies, and the slate ticks are the cutoffs between read labels listed under each metric.

Brier Score
How close the pregame probabilities landed to the actual result, averaged over the season. Confident, correct calls are rewarded most; confident misses are punished most. Lower is better; since draws are possible, a score under 0.66 beats guessing the base rate.
Highly Predictable: under 0.56 * Predictable: 0.56 to 0.62 * Hard to Predict: 0.62 to 0.66 * Coin-Flip: 0.66 and up.
Matchup Imbalance
How lopsided the matchups were on paper, averaging the gap between the two win probabilities over their sum. 0 means every match was a toss-up; 1 means every match was a heavy favorite against a big underdog.
Very Even: under 0.35 * Slight Separation: 0.35 to 0.39 * Notable Separation: 0.39 to 0.44 * Lopsided: 0.44 and up.
Strangeness
How wild the final table was versus what the model expected. A value of 1 means teams landed about one standard deviation from their projections on average. Above 1 is a stranger season; below 1 hugged the projections.
Very Predictable: under 0.8 * As Expected: 0.8 to 1.1 * Wilder Than Modeled: 1.1 to 1.4 * Chaotic: 1.4 and up.
Repeatability
How closely the final table order matched the preseason Elo order, by Spearman rank correlation. Higher means last season's ratings strongly predicted this season's finish. Shows N/A for an inaugural season.
Weak Carryover: under 0.43 * Some Carryover: 0.43 to 0.62 * Strong Carryover: 0.62 to 0.73 * Near-Lock: 0.73 and up.
Upset Rate
Share of matches the underdog won. The gold line is how often the model expected underdogs to win; a dot to the right means upsets ran hotter than expected.
Chalky: under 21.5% * As Expected: 21.5% to 24% * Upset-Prone: 24% to 26.5% * Very Upset-Prone: 26.5% and up.
Clear Favorite Upset Rate
Share of matches the underdog won, counting only games with a clear favorite (at least 60% likely to win once a draw is set aside). The gold line is how often the model expected these favorites to slip.
Solid Favorites: under 18% * As Expected: 18% to 20.5% * Shaky Favorites: 20.5% to 23.5% * Very Shaky: 23.5% and up.
Brier Score
Expected
0.54
Highly Predictable
00.552
Matchup Imbalance
0.46
Lopsided
00.350.5
Strangeness
Expected
1.28
Wilder Than Modeled
01.002
Repeatability
0.72
Strong Carryover
00.430.621
Upset Rate
Expected
21%
Chalky
0%21%50%
Clear Favorite Upset Rate
Expected
19%
As Expected
0%18%50%

Calibration

How these are measured

The navy dot is the actual value, the gold line and key are the model's reference where one applies, and the slate ticks are the cutoffs between read labels listed under each metric.

Probability calibration
An all-in-one chi-square test of the model's probabilities. Matches are grouped by how confident the model was, and within each group the predicted and actual counts of home wins, draws, and away wins are compared. The p-value is plotted; above 0.05 means well-calibrated.
Miscalibrated: under 0.05 * Borderline: 0.05 to 0.1 * Well Calibrated: 0.1 to 0.5 * Excellent: 0.5 and up.
Calibration slope
Checks whether the spread of the probabilities is right. Each probability is turned into log-odds and a line is fit predicting the actual results. A slope of 1.00 is perfect; below 1 is overconfidence (favorites lost more than their odds implied); above 1 is under-confidence.
Overconfident: under 0.85 * Calibrated: 0.85 to 1.15 * Underconfident: 1.15 to 1.3 * Very Underconfident: 1.3 and up.
Calibration error (ECE)
The average gap between the model's stated chances and how often the predicted result actually happened. Smaller is better. The gold line is the noise ceiling, the error luck alone can produce even with perfect probabilities; below it, the model's error is no larger than chance.
Well Within Noise: under 0.12 * Near Noise Ceiling: 0.12 to 0.18 * Above Noise: 0.18 to 0.24 * Well Above Noise: 0.24 and up.
Probability calibration
0.34
Well Calibrated
0.010.050.10.51
Calibration slope
Ideal
1.09
Calibrated
0.51.001.5
Calibration error (ECE)
Noise ceiling
0.065
Well Within Noise
00.1190.3

Final Table Odds

Each cell is the probability — across 100,000 simulations — that the team (row) finished at that position (column). Rows are sorted by actual finish (champion at top, bottom of the table at the bottom).

Team1234567891011121314
F91 Dudelange58.00%27.00%14.00%1.00%——————————
Progres Niedercorn19.00%40.00%21.00%14.00%5.00%1.00%————————
Fola Esch12.00%19.00%31.00%24.00%8.00%4.00%2.00%———————
Jeunesse Esch1.00%3.00%5.00%17.00%31.00%17.00%8.00%7.00%5.00%3.00%2.00%—1.00%—
Differdange 0310.00%10.00%24.00%31.00%13.00%5.00%5.00%1.00%1.00%—————
Mondorf-les-Bains——1.00%3.00%9.00%10.00%14.00%17.00%14.00%8.00%11.00%7.00%3.00%3.00%
Racing FC Union Luxembourg——1.00%4.00%5.00%18.00%18.00%10.00%19.00%11.00%4.00%6.00%4.00%—
Hostert—1.00%1.00%3.00%8.00%16.00%10.00%19.00%17.00%10.00%7.00%3.00%5.00%—
Union Titus Petange——2.00%3.00%11.00%9.00%20.00%18.00%15.00%11.00%10.00%—1.00%—
RM Hamm Benfica————9.00%13.00%10.00%16.00%10.00%10.00%17.00%8.00%5.00%2.00%
UNA Strassen——————4.00%5.00%4.00%16.00%12.00%20.00%27.00%12.00%
Victoria Rosport————1.00%5.00%6.00%3.00%12.00%18.00%15.00%24.00%13.00%3.00%
Rodange 91—————2.00%3.00%4.00%2.00%10.00%17.00%24.00%22.00%16.00%
US Esch————————1.00%3.00%5.00%8.00%19.00%64.00%

Points Required Per Position

The empirical CDF of simulated point totals per finishing position. Each curve shows, for one position (1st, 2nd, ..., last), the spread of point totals teams accumulated across simulations. Reading the curve at the 50% mark gives the median points typically needed to finish at that position. Steep curves mean the position is tightly clustered around a particular point range; shallow curves mean the position came with a wide variety of point totals.

Next-Season Status

Across 100,000 regular-season simulations, the probability of each team's next-season status. Columns appear in best-to-worst outcome order: promotion-positive on the left, relegation-positive on the right. Cells with darker shading indicate higher likelihood.

Team Same level Qualified for relegation playoff Direct relegation
Differdange 03 100% — —
F91 Dudelange 100% — —
Fola Esch 100% — —
Progres Niedercorn 100% — —
Jeunesse Esch 99.00% — 1.00%
Union Titus Petange 99.00% — 1.00%
Racing FC Union Luxembourg 90.00% 6.00% 4.00%
Hostert 92.00% 3.00% 5.00%
Mondorf-les-Bains 87.00% 7.00% 6.00%
RM Hamm Benfica 85.00% 8.00% 7.00%
Victoria Rosport 60.00% 24.00% 16.00%
Rodange 91 38.00% 24.00% 38.00%
UNA Strassen 41.00% 20.00% 39.00%
US Esch 9.00% 8.00% 83.00%

Overall Game Log

Summary of every completed game this season. Sort any column by clicking its header.

Date Opponent ScoreExcitement Pre Elo Opp Elo Win % Tie % Loss %Proj. Margin Elo Δ Points
2017-08-04 F91 Dudelange W 2-152.9 1092 1342 15.29% 20.16% 64.56%-1.38 +22.4 3
2017-08-04 @ Hostert L 1-252.9 1342 1092 64.56% 20.16% 15.29%+1.38 -22.4 0
2017-08-05 Rodange 91 D 2-257.7 1131 1026 56.83% 20.99% 22.19%+0.87 -2.2 1
2017-08-05 @ UNA Strassen D 2-257.7 1026 1131 22.19% 20.99% 56.83%-0.87 +2.2 1
2017-08-06 RM Hamm Benfica L 0-143.7 1137 1100 48.75% 21.41% 29.83%+0.44 -18.3 0
2017-08-06 @ Union Titus Petange W 1-043.7 1100 1137 29.83% 21.41% 48.75%-0.44 +18.3 3
2017-08-06 Jeunesse Esch L 0-435.0 1091 1135 37.53% 21.56% 40.91%-0.08 -52.8 0
2017-08-06 @ US Esch W 4-035.0 1135 1091 40.91% 21.56% 37.53%+0.08 +52.8 3
2017-08-06 Mondorf-les-Bains W 4-027.5 1303 1095 66.48% 19.86% 13.66%+1.53 +21.9 3
2017-08-06 @ Differdange 03 L 0-427.5 1095 1303 13.66% 19.86% 66.48%-1.53 -21.9 0
2017-08-06 Progres Niedercorn L 2-347.0 1098 1223 26.98% 21.30% 51.72%-0.59 -10.1 0
2017-08-06 @ Racing FC Union Luxembourg W 3-247.0 1223 1098 51.72% 21.30% 26.98%+0.59 +10.1 3
2017-08-06 Victoria Rosport D 1-152.9 1292 1118 63.63% 20.29% 16.08%+1.31 -4.2 1
2017-08-06 @ Fola Esch D 1-152.9 1118 1292 16.08% 20.29% 63.63%-1.31 +4.2 1
2017-08-12 Racing FC Union Luxembourg W 2-143.0 1115 1088 47.48% 21.45% 31.07%+0.38 +11.9 6
2017-08-12 @ Hostert L 1-243.0 1088 1115 31.07% 21.45% 47.48%-0.38 -11.9 0
2017-08-13 Differdange 03 W 3-148.0 1188 1324 25.76% 21.23% 53.01%-0.66 +32.2 6
2017-08-13 @ Jeunesse Esch L 1-348.0 1324 1188 53.01% 21.23% 25.76%+0.66 -32.2 3
2017-08-13 F91 Dudelange L 0-230.9 1073 1320 15.48% 20.19% 64.33%-1.36 -13.0 0
2017-08-13 @ Mondorf-les-Bains W 2-030.9 1320 1073 64.33% 20.19% 15.48%+1.36 +13.0 3
2017-08-13 UNA Strassen W 4-140.5 1122 1129 42.83% 21.54% 35.63%+0.16 +32.7 4
2017-08-13 @ Victoria Rosport L 1-440.5 1129 1122 35.63% 21.54% 42.83%-0.16 -32.7 1
2017-08-13 US Esch W 3-139.0 1118 1038 54.02% 21.17% 24.81%+0.71 +17.1 6
2017-08-13 @ RM Hamm Benfica L 1-339.0 1038 1118 24.81% 21.17% 54.02%-0.71 -17.1 0
2017-08-14 Fola Esch W 2-146.8 1234 1287 36.19% 21.55% 42.26%-0.14 +15.3 6
2017-08-14 @ Progres Niedercorn L 1-246.8 1287 1234 42.26% 21.55% 36.19%+0.14 -15.3 1
2017-08-14 Union Titus Petange W 2-147.8 1029 1118 31.38% 21.46% 47.16%-0.36 +16.8 4
2017-08-14 @ Rodange 91 L 1-247.8 1118 1029 47.16% 21.46% 31.38%+0.36 -16.8 0
2017-08-18 RM Hamm Benfica D 0-049.3 1292 1135 62.11% 20.48% 17.41%+1.21 -4.4 4
2017-08-18 @ Differdange 03 D 0-049.3 1135 1292 17.41% 20.48% 62.11%-1.21 +4.4 7
2017-08-19 Hostert D 0-048.7 1060 1127 34.40% 21.53% 44.08%-0.22 +0.9 1
2017-08-19 @ Mondorf-les-Bains D 0-048.7 1127 1060 44.08% 21.53% 34.40%+0.22 -0.9 7
2017-08-19 Progres Niedercorn L 0-631.5 1096 1249 23.99% 21.12% 54.89%-0.76 -53.4 1
2017-08-19 @ UNA Strassen W 6-031.5 1249 1096 54.89% 21.12% 23.99%+0.76 +53.4 9
2017-08-20 Jeunesse Esch W 2-033.4 1333 1220 57.65% 20.92% 21.43%+0.92 +17.4 6
2017-08-20 @ F91 Dudelange L 0-233.4 1220 1333 21.43% 20.92% 57.65%-0.92 -17.4 6
2017-08-20 Racing FC Union Luxembourg D 3-362.6 1272 1076 65.55% 20.01% 14.44%+1.46 -2.8 2
2017-08-20 @ Fola Esch D 3-362.6 1076 1272 14.44% 20.01% 65.55%-1.46 +2.8 1
2017-08-20 Rodange 91 L 0-238.6 1021 1045 40.39% 21.56% 38.04%+0.05 -29.5 0
2017-08-20 @ US Esch W 2-038.6 1045 1021 38.04% 21.56% 40.39%-0.05 +29.5 7
2017-08-20 Victoria Rosport W 2-146.3 1102 1155 36.34% 21.55% 42.11%-0.13 +15.2 3
2017-08-20 @ Union Titus Petange L 1-246.3 1155 1102 42.11% 21.55% 36.34%+0.13 -15.2 4
2017-08-24 Differdange 03 W 2-151.9 1075 1288 18.18% 20.58% 61.24%-1.15 +21.3 10
2017-08-24 @ Rodange 91 L 1-251.9 1288 1075 61.24% 20.58% 18.18%+1.15 -21.3 4
2017-08-24 F91 Dudelange L 1-337.3 1139 1350 18.39% 20.60% 61.00%-1.13 -13.2 7
2017-08-24 @ RM Hamm Benfica W 3-137.3 1350 1139 61.00% 20.60% 18.39%+1.13 +13.2 9
2017-08-24 Fola Esch W 2-042.7 1126 1269 24.97% 21.19% 53.84%-0.71 +37.7 10
2017-08-24 @ Hostert L 0-242.7 1269 1126 53.84% 21.19% 24.97%+0.71 -37.7 2
2017-08-24 Mondorf-les-Bains W 4-241.6 1203 1061 60.68% 20.64% 18.68%+1.11 +12.0 9
2017-08-24 @ Jeunesse Esch L 2-441.6 1061 1203 18.68% 20.64% 60.68%-1.11 -11.9 1
2017-08-24 UNA Strassen D 1-152.3 1078 1043 48.57% 21.42% 30.01%+0.43 -1.5 2
2017-08-24 @ Racing FC Union Luxembourg D 1-152.3 1043 1078 30.01% 21.42% 48.57%-0.43 +1.5 2
2017-08-24 Union Titus Petange W 7-131.2 1302 1117 64.61% 20.15% 15.24%+1.38 +29.3 12
2017-08-24 @ Progres Niedercorn L 1-731.2 1117 1302 15.24% 20.15% 64.61%-1.38 -29.3 3
2017-08-27 US Esch L 1-251.7 1139 991 61.22% 20.58% 18.20%+1.15 -21.3 4
2017-08-27 @ Victoria Rosport W 2-151.7 991 1139 18.20% 20.58% 61.22%-1.15 +21.3 3
2017-09-09 Hostert W 4-244.7 1215 1164 50.55% 21.35% 28.10%+0.53 +17.0 12
2017-09-09 @ Jeunesse Esch L 2-444.7 1164 1215 28.10% 21.35% 50.55%-0.53 -17.0 10
2017-09-10 RM Hamm Benfica D 1-152.3 1049 1126 32.97% 21.50% 45.53%-0.29 +1.0 2
2017-09-10 @ Mondorf-les-Bains D 1-152.3 1126 1049 45.53% 21.50% 32.97%+0.29 -1.0 8
2017-09-10 Fola Esch L 0-429.7 1044 1232 20.50% 20.83% 58.67%-0.98 -31.8 2
2017-09-10 @ UNA Strassen W 4-029.7 1232 1044 58.67% 20.83% 20.50%+0.98 +31.8 5
2017-09-10 Progres Niedercorn L 0-131.8 1013 1332 10.95% 19.20% 69.86%-1.82 -4.9 3
2017-09-10 @ US Esch W 1-031.8 1332 1013 69.86% 19.20% 10.95%+1.82 +4.9 15
2017-09-10 Racing FC Union Luxembourg W 2-143.6 1088 1077 45.27% 21.51% 33.22%+0.27 +12.6 6
2017-09-10 @ Union Titus Petange L 1-243.6 1077 1088 33.22% 21.51% 45.27%-0.27 -12.6 2
2017-09-10 Rodange 91 W 7-027.6 1363 1096 70.78% 18.99% 10.24%+1.91 +28.0 12
2017-09-10 @ F91 Dudelange L 0-727.6 1096 1363 10.24% 18.99% 70.78%-1.91 -28.0 10
2017-09-10 Victoria Rosport W 6-132.6 1267 1118 61.30% 20.57% 18.13%+1.15 +29.1 7
2017-09-10 @ Differdange 03 L 1-632.6 1118 1267 18.13% 20.57% 61.30%-1.15 -29.1 4
2017-09-15 Jeunesse Esch W 2-148.5 1125 1232 29.29% 21.39% 49.31%-0.47 +17.4 11
2017-09-15 @ RM Hamm Benfica L 1-248.5 1232 1125 49.31% 21.39% 29.29%+0.47 -17.4 12
2017-09-16 Differdange 03 W 1-039.0 1336 1296 49.23% 21.40% 29.37%+0.47 +12.1 18
2017-09-16 @ Progres Niedercorn L 0-139.0 1296 1336 29.37% 21.40% 49.23%-0.47 -12.1 7
2017-09-17 F91 Dudelange L 0-427.0 1089 1391 11.86% 19.44% 68.70%-1.71 -19.1 4
2017-09-17 @ Victoria Rosport W 4-027.0 1391 1089 68.70% 19.44% 11.86%+1.71 +19.1 15
2017-09-17 Mondorf-les-Bains L 0-143.0 1068 1050 46.31% 21.48% 32.20%+0.32 -17.5 10
2017-09-17 @ Rodange 91 W 1-043.0 1050 1068 32.20% 21.48% 46.31%-0.32 +17.5 5
2017-09-17 UNA Strassen L 1-251.4 1147 1013 59.86% 20.72% 19.42%+1.06 -20.8 10
2017-09-17 @ Hostert W 2-151.4 1013 1147 19.42% 20.72% 59.86%-1.06 +20.8 5
2017-09-17 Union Titus Petange W 3-243.7 1263 1100 62.67% 20.41% 16.92%+1.24 +6.7 8
2017-09-17 @ Fola Esch L 2-343.7 1100 1263 16.92% 20.41% 62.67%-1.24 -6.7 6
2017-09-17 US Esch W 2-141.8 1064 1008 51.21% 21.32% 27.47%+0.57 +10.8 5
2017-09-17 @ Racing FC Union Luxembourg L 1-241.8 1008 1064 27.47% 21.32% 51.21%-0.57 -10.8 3
2017-09-29 Rodange 91 D 1-152.7 1214 1051 62.71% 20.41% 16.88%+1.25 -4.0 13
2017-09-29 @ Jeunesse Esch D 1-152.7 1051 1214 16.88% 20.41% 62.71%-1.25 +4.0 11
2017-09-30 Fola Esch L 0-132.7 997 1270 13.66% 19.86% 66.48%-1.53 -6.1 3
2017-09-30 @ US Esch W 1-032.7 1270 997 66.48% 19.86% 13.66%+1.53 +6.1 11
2017-09-30 Progres Niedercorn W 3-249.6 1410 1349 51.87% 21.29% 26.84%+0.60 +10.0 18
2017-09-30 @ F91 Dudelange L 2-349.6 1349 1410 26.84% 21.29% 51.87%-0.60 -10.0 18
2017-09-30 Racing FC Union Luxembourg W 2-137.4 1284 1075 66.52% 19.85% 13.63%+1.53 +5.8 10
2017-09-30 @ Differdange 03 L 1-237.4 1075 1284 13.63% 19.85% 66.52%-1.53 -5.8 5
2017-09-30 UNA Strassen W 2-141.7 1094 1033 51.66% 21.30% 27.04%+0.59 +10.7 9
2017-09-30 @ Union Titus Petange L 1-241.7 1033 1094 27.04% 21.30% 51.66%-0.59 -10.7 5
2017-09-30 Victoria Rosport W 3-249.4 1067 1070 43.43% 21.54% 35.03%+0.19 +12.5 8
2017-09-30 @ Mondorf-les-Bains L 2-349.4 1070 1067 35.03% 21.54% 43.43%-0.19 -12.5 4
2017-10-01 Hostert W 2-036.2 1143 1126 46.13% 21.49% 32.39%+0.31 +24.7 14
2017-10-01 @ RM Hamm Benfica L 0-236.2 1126 1143 32.39% 21.49% 46.13%-0.31 -24.7 10
2017-10-14 RM Hamm Benfica D 2-257.6 1055 1167 28.51% 21.36% 50.12%-0.51 +1.3 12
2017-10-14 @ Rodange 91 D 2-257.6 1167 1055 50.12% 21.36% 28.51%+0.51 -1.3 15
2017-10-15 Differdange 03 W 6-346.5 1276 1289 41.99% 21.55% 36.46%+0.12 +26.7 14
2017-10-15 @ Fola Esch L 3-646.5 1289 1276 36.46% 21.55% 41.99%-0.12 -26.7 10
2017-10-15 F91 Dudelange D 1-153.5 1069 1420 9.34% 18.69% 71.98%-2.02 +5.7 6
2017-10-15 @ Racing FC Union Luxembourg D 1-153.5 1420 1069 71.98% 18.69% 9.34%+2.02 -5.7 19
2017-10-15 Jeunesse Esch W 3-148.1 1057 1210 23.95% 21.12% 54.93%-0.77 +33.3 7
2017-10-15 @ Victoria Rosport L 1-348.1 1210 1057 54.93% 21.12% 23.95%+0.77 -33.2 13
2017-10-15 Mondorf-les-Bains W 3-241.5 1338 1080 70.21% 19.12% 10.67%+1.85 +4.3 21
2017-10-15 @ Progres Niedercorn L 2-341.5 1080 1338 10.67% 19.12% 70.21%-1.85 -4.3 8
2017-10-15 Union Titus Petange D 2-257.5 1101 1104 43.37% 21.54% 35.09%+0.19 -0.5 11
2017-10-15 @ Hostert D 2-257.5 1104 1101 35.09% 21.54% 43.37%-0.19 +0.5 10
2017-10-15 US Esch W 2-142.8 1023 991 48.09% 21.44% 30.48%+0.41 +11.8 8
2017-10-15 @ UNA Strassen L 1-242.8 991 1023 30.48% 21.44% 48.09%-0.41 -11.8 3
2017-10-22 Fola Esch W 4-350.7 1415 1303 57.57% 20.93% 21.50%+0.92 +8.1 22
2017-10-22 @ F91 Dudelange L 3-450.7 1303 1415 21.50% 20.93% 57.57%-0.92 -8.1 14
2017-10-22 Hostert D 0-048.7 1056 1100 37.50% 21.56% 40.94%-0.08 +0.3 13
2017-10-22 @ Rodange 91 D 0-048.7 1100 1056 40.94% 21.56% 37.50%+0.08 -0.3 12
2017-10-22 Progres Niedercorn L 0-331.7 1177 1343 22.62% 21.02% 56.36%-0.85 -26.5 13
2017-10-22 @ Jeunesse Esch W 3-031.7 1343 1177 56.36% 21.02% 22.62%+0.85 +26.5 24
2017-10-22 Racing FC Union Luxembourg W 4-246.6 1075 1075 43.85% 21.53% 34.62%+0.21 +20.2 11
2017-10-22 @ Mondorf-les-Bains L 2-446.6 1075 1075 34.62% 21.53% 43.85%-0.21 -20.2 6
2017-10-22 UNA Strassen W 5-027.0 1263 1034 68.03% 19.58% 12.39%+1.66 +24.6 13
2017-10-22 @ Differdange 03 L 0-527.0 1034 1263 12.39% 19.58% 68.03%-1.66 -24.5 8
2017-10-22 Union Titus Petange L 0-332.6 979 1105 27.01% 21.30% 51.69%-0.59 -30.9 3
2017-10-22 @ US Esch W 3-032.6 1105 979 51.69% 21.30% 27.01%+0.59 +30.9 13
2017-10-22 Victoria Rosport L 1-249.7 1166 1091 53.50% 21.20% 25.30%+0.69 -18.7 15
2017-10-22 @ RM Hamm Benfica W 2-149.7 1091 1166 25.30% 21.20% 53.50%-0.69 +18.7 10
2017-11-04 RM Hamm Benfica L 1-351.9 1369 1147 67.56% 19.66% 12.77%+1.62 -40.5 24
2017-11-04 @ Progres Niedercorn W 3-151.9 1147 1369 12.77% 19.66% 67.56%-1.62 +40.5 18
2017-11-05 Differdange 03 L 0-233.8 1136 1287 24.09% 21.13% 54.79%-0.76 -19.3 13
2017-11-05 @ Union Titus Petange W 2-033.8 1287 1136 54.79% 21.13% 24.09%+0.76 +19.3 16
2017-11-05 F91 Dudelange L 1-430.9 1010 1423 6.88% 17.62% 75.50%-2.42 -7.1 8
2017-11-05 @ UNA Strassen W 4-130.9 1423 1010 75.50% 17.62% 6.88%+2.42 +7.1 25
2017-11-05 Jeunesse Esch L 1-242.8 1055 1151 30.64% 21.44% 47.92%-0.40 -11.8 6
2017-11-05 @ Racing FC Union Luxembourg W 2-142.8 1151 1055 47.92% 21.44% 30.64%+0.40 +11.8 16
2017-11-05 Mondorf-les-Bains D 1-152.9 1295 1096 65.78% 19.97% 14.25%+1.47 -4.6 15
2017-11-05 @ Fola Esch D 1-152.9 1096 1295 14.25% 19.97% 65.78%-1.47 +4.6 12
2017-11-05 Rodange 91 D 1-152.4 1109 1056 50.80% 21.34% 27.87%+0.54 -1.9 11
2017-11-05 @ Victoria Rosport D 1-152.4 1056 1109 27.87% 21.34% 50.80%-0.54 +1.9 14
2017-11-05 US Esch W 3-136.7 1100 948 61.61% 20.54% 17.85%+1.17 +12.8 15
2017-11-05 @ Hostert L 1-336.7 948 1100 17.85% 20.54% 61.61%-1.17 -12.8 3
2017-11-19 Differdange 03 W 2-151.4 1113 1307 19.92% 20.78% 59.30%-1.02 +20.6 18
2017-11-19 @ Hostert L 1-251.4 1307 1113 59.30% 20.78% 19.92%+1.02 -20.6 16
2017-11-19 F91 Dudelange L 1-627.2 935 1430 4.58% 16.07% 79.35%-2.94 -7.3 3
2017-11-19 @ US Esch W 6-127.2 1430 935 79.35% 16.07% 4.58%+2.94 +7.3 28
2017-11-19 RM Hamm Benfica W 2-140.6 1290 1188 56.56% 21.01% 22.44%+0.86 +9.1 18
2017-11-19 @ Fola Esch L 1-240.6 1188 1290 22.44% 21.01% 56.56%-0.86 -9.1 18
2017-11-19 Jeunesse Esch L 0-331.4 1003 1162 23.26% 21.07% 55.67%-0.81 -27.2 8
2017-11-19 @ UNA Strassen W 3-031.4 1162 1003 55.67% 21.07% 23.26%+0.81 +27.2 19
2017-11-19 Mondorf-les-Bains D 1-152.3 1116 1100 46.00% 21.49% 32.50%+0.31 -1.1 14
2017-11-19 @ Union Titus Petange D 1-152.3 1100 1116 32.50% 21.49% 46.00%-0.31 +1.1 13
2017-11-19 Rodange 91 W 3-249.9 1043 1058 41.70% 21.55% 36.74%+0.11 +13.0 9
2017-11-19 @ Racing FC Union Luxembourg L 2-349.9 1058 1043 36.74% 21.55% 41.70%-0.11 -13.0 14
2017-11-19 Victoria Rosport W 5-027.3 1329 1107 67.52% 19.67% 12.81%+1.61 +25.4 27
2017-11-19 @ Progres Niedercorn L 0-527.3 1107 1329 12.81% 19.67% 67.52%-1.61 -25.4 11
2017-11-26 Differdange 03 D 0-051.2 1437 1286 61.55% 20.54% 17.90%+1.17 -4.3 29
2017-11-26 @ F91 Dudelange D 0-051.2 1286 1437 17.90% 20.54% 61.55%-1.17 +4.3 17
2017-11-26 Fola Esch L 0-328.7 1045 1299 14.97% 20.10% 64.93%-1.41 -18.3 14
2017-11-26 @ Rodange 91 W 3-028.7 1299 1045 64.93% 20.10% 14.97%+1.41 +18.3 21
2017-11-26 Hostert D 1-153.2 1354 1134 67.45% 19.68% 12.86%+1.61 -4.9 28
2017-11-26 @ Progres Niedercorn D 1-153.2 1134 1354 12.86% 19.68% 67.45%-1.61 +4.9 19
2017-11-26 Racing FC Union Luxembourg L 0-240.6 1082 1056 47.33% 21.46% 31.21%+0.37 -33.6 11
2017-11-26 @ Victoria Rosport W 2-040.6 1056 1082 31.21% 21.46% 47.33%-0.37 +33.6 12
2017-11-26 UNA Strassen D 1-152.8 1179 976 66.09% 19.92% 13.99%+1.50 -4.6 19
2017-11-26 @ RM Hamm Benfica D 1-152.8 976 1179 13.99% 19.92% 66.09%-1.50 +4.7 9
2017-11-26 Union Titus Petange D 3-362.2 1190 1115 53.37% 21.21% 25.42%+0.68 -1.5 20
2017-11-26 @ Jeunesse Esch D 3-362.2 1115 1190 25.42% 21.21% 53.37%-0.68 +1.5 15
2017-11-26 US Esch W 3-029.0 1101 928 63.55% 20.30% 16.15%+1.31 +19.6 16
2017-11-26 @ Mondorf-les-Bains L 0-329.0 928 1101 16.15% 20.30% 63.55%-1.31 -19.6 3
2017-12-09 Progres Niedercorn L 0-426.4 1027 1349 10.76% 19.14% 70.10%-1.84 -17.3 14
2017-12-09 @ Rodange 91 W 4-026.4 1349 1027 70.10% 19.14% 10.76%+1.84 +17.3 31
2018-02-18 Fola Esch D 3-362.5 1188 1318 26.55% 21.27% 52.18%-0.62 +1.3 21
2018-02-18 @ Jeunesse Esch D 3-362.5 1318 1188 52.18% 21.27% 26.55%+0.62 -1.3 22
2018-02-18 Hostert L 1-341.1 1048 1139 31.36% 21.46% 47.18%-0.37 -20.8 11
2018-02-18 @ Victoria Rosport W 3-141.1 1139 1048 47.18% 21.46% 31.36%+0.37 +20.9 22
2018-02-18 Racing FC Union Luxembourg L 0-340.8 1174 1090 54.55% 21.14% 24.30%+0.74 -55.4 19
2018-02-18 @ RM Hamm Benfica W 3-040.8 1090 1174 24.30% 21.14% 54.55%-0.74 +55.4 15
2018-02-18 UNA Strassen W 3-137.1 1121 980 60.51% 20.66% 18.83%+1.10 +13.5 19
2018-02-18 @ Mondorf-les-Bains L 1-337.1 980 1121 18.83% 20.66% 60.51%-1.10 -13.4 9
2018-02-18 Union Titus Petange W 2-135.7 1433 1117 73.79% 18.17% 8.04%+2.22 +3.4 32
2018-02-18 @ F91 Dudelange L 1-235.7 1117 1433 8.04% 18.17% 73.79%-2.22 -3.4 15
2018-02-18 US Esch W 4-130.1 1290 909 77.20% 16.99% 5.81%+2.63 +5.9 20
2018-02-18 @ Differdange 03 L 1-430.1 909 1290 5.81% 16.99% 77.20%-2.63 -5.9 3
2018-03-07 RM Hamm Benfica L 2-343.9 903 1119 17.92% 20.55% 61.53%-1.17 -7.1 3
2018-03-07 @ US Esch W 3-243.9 1119 903 61.53% 20.55% 17.92%+1.17 +7.0 22
2018-03-07 Hostert D 0-048.8 1145 1159 41.81% 21.55% 36.64%+0.12 -0.5 16
2018-03-07 @ Racing FC Union Luxembourg D 0-048.8 1159 1145 36.64% 21.55% 41.81%-0.12 +0.5 23
2018-03-07 Jeunesse Esch W 2-033.3 1296 1189 57.03% 20.97% 22.00%+0.89 +17.8 23
2018-03-07 @ Differdange 03 L 0-233.3 1189 1296 22.00% 20.97% 57.03%-0.89 -17.8 21
2018-03-07 Mondorf-les-Bains W 4-238.6 1436 1134 72.95% 18.42% 8.63%+2.13 +5.7 35
2018-03-07 @ F91 Dudelange L 2-438.6 1134 1436 8.63% 18.42% 72.95%-2.13 -5.7 19
2018-03-07 Progres Niedercorn L 2-448.9 1316 1367 36.69% 21.55% 41.75%-0.11 -21.2 22
2018-03-07 @ Fola Esch W 4-248.9 1367 1316 41.75% 21.55% 36.69%+0.11 +21.2 34
2018-03-07 Rodange 91 D 1-152.4 1113 1010 56.69% 21.00% 22.31%+0.87 -2.9 16
2018-03-07 @ Union Titus Petange D 1-152.4 1010 1113 22.31% 21.00% 56.69%-0.87 +2.9 15
2018-03-07 Victoria Rosport L 1-440.3 967 1028 35.25% 21.54% 43.21%-0.18 -32.4 9
2018-03-07 @ UNA Strassen W 4-140.3 1028 967 43.21% 21.54% 35.25%+0.18 +32.4 14
2018-03-10 F91 Dudelange L 1-234.6 1013 1442 6.33% 17.31% 76.36%-2.52 -2.7 15
2018-03-10 @ Rodange 91 W 2-134.6 1442 1013 76.36% 17.31% 6.33%+2.52 +2.7 38
2018-03-11 Differdange 03 L 1-237.9 1060 1314 14.99% 20.11% 64.91%-1.41 -6.3 14
2018-03-11 @ Victoria Rosport W 2-137.9 1314 1060 64.91% 20.11% 14.99%+1.41 +6.3 26
2018-03-11 Jeunesse Esch L 1-246.4 1160 1172 42.18% 21.55% 36.27%+0.13 -15.3 23
2018-03-11 @ Hostert W 2-146.4 1172 1160 36.27% 21.55% 42.18%-0.13 +15.3 24
2018-03-11 Mondorf-les-Bains D 0-048.8 1126 1129 43.42% 21.54% 35.04%+0.19 -0.8 23
2018-03-11 @ RM Hamm Benfica D 0-048.8 1129 1126 35.04% 21.54% 43.42%-0.19 +0.8 20
2018-03-11 UNA Strassen W 3-132.4 1295 934 76.17% 17.38% 6.45%+2.50 +4.7 25
2018-03-11 @ Fola Esch L 1-332.4 934 1295 6.45% 17.38% 76.17%-2.50 -4.7 9
2018-03-11 Union Titus Petange L 2-353.4 1145 1110 48.40% 21.43% 30.17%+0.42 -16.3 16
2018-03-11 @ Racing FC Union Luxembourg W 3-253.4 1110 1145 30.17% 21.43% 48.40%-0.42 +16.2 19
2018-03-11 US Esch W 3-130.7 1388 896 81.84% 14.83% 3.33%+3.34 +2.3 37
2018-03-11 @ Progres Niedercorn L 1-330.7 896 1388 3.33% 14.83% 81.84%-3.34 -2.3 3
2018-03-14 Differdange 03 L 0-135.1 1125 1320 19.76% 20.76% 59.48%-1.03 -8.6 23
2018-03-14 @ RM Hamm Benfica W 1-035.1 1320 1125 59.48% 20.76% 19.76%+1.03 +8.6 29
2018-03-14 F91 Dudelange W 3-152.0 1187 1445 14.71% 20.06% 65.24%-1.43 +39.2 27
2018-03-14 @ Jeunesse Esch L 1-352.0 1445 1187 65.24% 20.06% 14.71%+1.43 -39.2 38
2018-03-14 Fola Esch W 2-150.8 1128 1300 22.03% 20.97% 56.99%-0.88 +19.9 19
2018-03-14 @ Racing FC Union Luxembourg L 1-250.8 1300 1128 56.99% 20.97% 22.03%+0.88 -19.9 25
2018-03-14 Mondorf-les-Bains L 1-345.5 1145 1129 45.88% 21.49% 32.62%+0.30 -28.3 23
2018-03-14 @ Hostert W 3-145.5 1129 1145 32.62% 21.49% 45.88%-0.30 +28.4 23
2018-03-14 UNA Strassen D 1-154.2 1390 930 80.62% 15.46% 3.92%+3.13 -7.0 38
2018-03-14 @ Progres Niedercorn D 1-154.2 930 1390 3.92% 15.46% 80.62%-3.13 +7.0 10
2018-03-14 Union Titus Petange L 0-236.6 1054 1127 33.62% 21.51% 44.86%-0.26 -25.5 14
2018-03-14 @ Victoria Rosport W 2-036.6 1127 1054 44.86% 21.51% 33.62%+0.26 +25.5 22
2018-03-14 US Esch W 1-035.2 1010 893 58.09% 20.88% 21.03%+0.95 +9.1 18
2018-03-14 @ Rodange 91 L 0-135.2 893 1010 21.03% 20.88% 58.09%-0.95 -9.1 3
2018-03-18 RM Hamm Benfica W 3-031.0 1226 1116 57.34% 20.95% 21.72%+0.90 +25.6 30
2018-03-18 @ Jeunesse Esch L 0-331.0 1116 1226 21.72% 20.95% 57.34%-0.90 -25.6 23
2018-03-18 Fola Esch L 2-347.0 1152 1280 26.73% 21.28% 51.99%-0.61 -10.0 22
2018-03-18 @ Union Titus Petange W 3-247.0 1280 1152 51.99% 21.28% 26.73%+0.61 +10.0 28
2018-03-18 Hostert W 3-041.7 937 1116 21.25% 20.90% 57.85%-0.93 +58.5 13
2018-03-18 @ UNA Strassen L 0-341.7 1116 937 57.85% 20.90% 21.25%+0.93 -58.5 23
2018-03-18 Progres Niedercorn L 1-246.5 1329 1383 36.15% 21.55% 42.30%-0.14 -13.5 29
2018-03-18 @ Differdange 03 W 2-146.5 1383 1329 42.30% 21.55% 36.15%+0.14 +13.5 41
2018-03-18 Racing FC Union Luxembourg D 1-152.7 884 1148 14.27% 19.98% 65.75%-1.47 +4.6 4
2018-03-18 @ US Esch D 1-152.7 1148 884 65.75% 19.98% 14.27%+1.47 -4.6 20
2018-03-18 Victoria Rosport W 4-024.4 1406 1028 76.99% 17.07% 5.94%+2.60 +9.4 41
2018-03-18 @ F91 Dudelange L 0-424.4 1028 1406 5.94% 17.07% 76.99%-2.60 -9.4 14
2018-03-30 US Esch W 9-026.0 1290 889 78.11% 16.62% 5.27%+2.76 +17.9 31
2018-03-30 @ Fola Esch L 0-926.0 889 1290 5.27% 16.62% 78.11%-2.76 -17.9 4
2018-03-31 Differdange 03 D 1-152.8 1144 1315 22.01% 20.97% 57.02%-0.88 +3.0 21
2018-03-31 @ Racing FC Union Luxembourg D 1-152.8 1315 1144 57.02% 20.97% 22.01%+0.88 -3.0 30
2018-03-31 F91 Dudelange L 1-347.9 1397 1415 41.24% 21.56% 37.20%+0.09 -26.0 41
2018-03-31 @ Progres Niedercorn W 3-147.9 1415 1397 37.20% 21.56% 41.24%-0.09 +26.0 44
2018-03-31 RM Hamm Benfica W 3-143.5 1058 1091 39.14% 21.56% 39.30%+0.00 +25.0 26
2018-03-31 @ Hostert L 1-343.5 1091 1058 39.30% 21.56% 39.14%+0.00 -25.0 23
2018-03-31 Jeunesse Esch L 1-336.3 1019 1252 16.58% 20.36% 63.06%-1.27 -12.0 18
2018-03-31 @ Rodange 91 W 3-136.3 1252 1019 63.06% 20.36% 16.58%+1.27 +12.0 33
2018-03-31 Mondorf-les-Bains L 1-339.2 1019 1158 25.49% 21.22% 53.30%-0.68 -17.5 14
2018-03-31 @ Victoria Rosport W 3-139.2 1158 1019 53.30% 21.22% 25.49%+0.68 +17.5 26
2018-03-31 Union Titus Petange W 4-252.4 995 1142 24.62% 21.16% 54.22%-0.73 +29.4 16
2018-03-31 @ UNA Strassen L 2-452.4 1142 995 54.22% 21.16% 24.62%+0.73 -29.4 22
2018-04-06 UNA Strassen L 0-136.1 871 1025 23.85% 21.11% 55.04%-0.77 -10.1 4
2018-04-06 @ US Esch W 1-036.1 1025 871 55.04% 21.11% 23.85%+0.77 +10.1 19
2018-04-08 Fola Esch L 0-240.9 1312 1308 44.43% 21.52% 34.05%+0.24 -31.9 30
2018-04-08 @ Differdange 03 W 2-040.9 1308 1312 34.05% 21.52% 44.43%-0.24 +31.9 34
2018-04-08 Hostert L 1-248.0 1113 1083 47.83% 21.44% 30.72%+0.40 -17.0 22
2018-04-08 @ Union Titus Petange W 2-148.0 1083 1113 30.72% 21.44% 47.83%-0.40 +17.0 29
2018-04-08 Progres Niedercorn D 0-049.6 1175 1371 19.75% 20.76% 59.49%-1.03 +3.8 27
2018-04-08 @ Mondorf-les-Bains D 0-049.6 1371 1175 59.49% 20.76% 19.75%+1.03 -3.8 42
2018-04-08 Racing FC Union Luxembourg W 2-029.1 1441 1147 72.49% 18.55% 8.96%+2.08 +7.6 47
2018-04-08 @ F91 Dudelange L 0-229.1 1147 1441 8.96% 18.55% 72.49%-2.08 -7.6 21
2018-04-08 Rodange 91 W 2-034.5 1066 1007 51.50% 21.31% 27.19%+0.58 +21.4 26
2018-04-08 @ RM Hamm Benfica L 0-234.5 1007 1066 27.19% 21.31% 51.50%-0.58 -21.4 18
2018-04-08 Victoria Rosport W 4-132.2 1264 1001 70.44% 19.07% 10.49%+1.87 +10.9 36
2018-04-08 @ Jeunesse Esch L 1-432.2 1001 1264 10.49% 19.07% 70.44%-1.87 -10.9 14
2018-04-11 RM Hamm Benfica W 4-024.9 1449 1087 76.20% 17.37% 6.43%+2.50 +10.3 50
2018-04-11 @ F91 Dudelange L 0-424.9 1087 1449 6.43% 17.37% 76.20%-2.50 -10.3 26
2018-04-11 Hostert W 4-132.9 1340 1100 68.90% 19.40% 11.70%+1.73 +12.1 37
2018-04-11 @ Fola Esch L 1-432.9 1100 1340 11.70% 19.40% 68.90%-1.73 -12.2 29
2018-04-11 Jeunesse Esch D 0-049.1 1179 1275 30.67% 21.44% 47.88%-0.40 +1.6 28
2018-04-11 @ Mondorf-les-Bains D 0-049.1 1275 1179 47.88% 21.44% 30.67%+0.40 -1.6 37
2018-04-11 Progres Niedercorn L 1-335.6 1096 1367 13.80% 19.88% 66.32%-1.52 -10.1 22
2018-04-11 @ Union Titus Petange W 3-135.6 1367 1096 66.32% 19.88% 13.80%+1.52 +10.1 45
2018-04-11 Racing FC Union Luxembourg L 0-137.9 1035 1139 29.58% 21.41% 49.02%-0.46 -12.2 19
2018-04-11 @ UNA Strassen W 1-037.9 1139 1035 49.02% 21.41% 29.58%+0.46 +12.2 24
2018-04-11 Rodange 91 W 5-130.1 1280 986 72.52% 18.54% 8.94%+2.08 +12.0 33
2018-04-11 @ Differdange 03 L 1-530.1 986 1280 8.94% 18.54% 72.52%-2.08 -12.0 18
2018-04-11 Victoria Rosport L 0-234.3 861 990 26.52% 21.27% 52.20%-0.62 -20.9 4
2018-04-11 @ US Esch W 2-034.3 990 861 52.20% 21.27% 26.52%+0.62 +20.9 17
2018-04-15 Differdange 03 D 2-258.1 1023 1292 13.88% 19.90% 66.22%-1.51 +3.5 20
2018-04-15 @ UNA Strassen D 2-258.1 1292 1023 66.22% 19.90% 13.88%+1.51 -3.5 34
2018-04-15 F91 Dudelange L 2-351.4 1352 1459 29.24% 21.39% 49.37%-0.47 -10.8 37
2018-04-15 @ Fola Esch W 3-251.4 1459 1352 49.37% 21.39% 29.24%+0.47 +10.8 53
2018-04-15 RM Hamm Benfica D 1-152.3 1011 1077 34.58% 21.53% 43.89%-0.21 +0.8 18
2018-04-15 @ Victoria Rosport D 1-152.3 1077 1011 43.89% 21.53% 34.58%+0.21 -0.7 27
2018-04-15 Jeunesse Esch W 1-036.9 1377 1273 56.72% 20.99% 22.28%+0.87 +9.6 48
2018-04-15 @ Progres Niedercorn L 0-136.9 1273 1377 22.28% 20.99% 56.72%-0.87 -9.6 37
2018-04-15 Mondorf-les-Bains W 2-038.2 1151 1181 39.65% 21.56% 38.79%+0.02 +28.5 27
2018-04-15 @ Racing FC Union Luxembourg L 0-238.2 1181 1151 38.79% 21.56% 39.65%-0.02 -28.5 28
2018-04-15 Rodange 91 D 1-152.5 1088 974 57.80% 20.91% 21.29%+0.93 -3.1 30
2018-04-15 @ Hostert D 1-152.5 974 1088 21.29% 20.91% 57.80%-0.93 +3.1 19
2018-04-15 US Esch W 4-132.4 1086 840 69.31% 19.32% 11.37%+1.77 +11.8 25
2018-04-15 @ Union Titus Petange L 1-432.4 840 1086 11.37% 19.32% 69.31%-1.77 -11.8 4
2018-04-22 Fola Esch L 0-135.4 1152 1341 20.34% 20.82% 58.84%-0.99 -8.8 28
2018-04-22 @ Mondorf-les-Bains W 1-035.4 1341 1152 58.84% 20.82% 20.34%+0.99 +8.8 40
2018-04-22 Hostert L 1-237.6 828 1084 14.80% 20.07% 65.12%-1.42 -6.2 4
2018-04-22 @ US Esch W 2-137.6 1084 828 65.12% 20.07% 14.80%+1.42 +6.2 33
2018-04-22 Progres Niedercorn L 1-236.7 1076 1386 11.41% 19.33% 69.26%-1.76 -4.8 27
2018-04-22 @ RM Hamm Benfica W 2-136.7 1386 1076 69.26% 19.33% 11.41%+1.76 +4.8 51
2018-04-22 Racing FC Union Luxembourg L 1-250.2 1263 1180 54.45% 21.15% 24.40%+0.74 -19.0 37
2018-04-22 @ Jeunesse Esch W 2-150.2 1180 1263 24.40% 21.15% 54.45%-0.74 +19.0 30
2018-04-22 UNA Strassen W 3-238.8 1470 1026 79.94% 15.80% 4.27%+3.03 +1.7 56
2018-04-22 @ F91 Dudelange L 2-338.8 1026 1470 4.27% 15.80% 79.94%-3.03 -1.7 20
2018-04-22 Union Titus Petange L 0-245.7 1289 1097 65.14% 20.07% 14.79%+1.42 -45.2 34
2018-04-22 @ Differdange 03 W 2-045.7 1097 1289 14.79% 20.07% 65.14%-1.42 +45.2 28
2018-04-22 Victoria Rosport D 1-152.3 977 1012 38.81% 21.56% 39.62%-0.02 +0.1 20
2018-04-22 @ Rodange 91 D 1-152.3 1012 977 39.62% 21.56% 38.81%+0.02 -0.1 19
2018-04-25 Rodange 91 D 1-152.6 1143 977 62.96% 20.37% 16.66%+1.27 -4.1 29
2018-04-25 @ Mondorf-les-Bains D 1-152.6 977 1143 16.66% 20.37% 62.96%-1.27 +4.1 21
2018-04-28 RM Hamm Benfica W 1-034.9 1199 1071 59.20% 20.79% 20.02%+1.02 +8.7 33
2018-04-28 @ Racing FC Union Luxembourg L 0-134.9 1071 1199 20.02% 20.79% 59.20%-1.02 -8.7 27
2018-04-29 Differdange 03 L 0-325.3 822 1244 6.57% 17.45% 75.98%-2.48 -8.0 4
2018-04-29 @ US Esch W 3-025.3 1244 822 75.98% 17.45% 6.57%+2.48 +8.0 37
2018-04-29 F91 Dudelange L 1-335.1 1143 1471 10.43% 19.05% 70.53%-1.88 -7.7 28
2018-04-29 @ Union Titus Petange W 3-135.1 1471 1143 70.53% 19.05% 10.43%+1.88 +7.7 59
2018-04-29 Jeunesse Esch D 1-153.3 1350 1244 56.91% 20.98% 22.11%+0.88 -3.0 41
2018-04-29 @ Fola Esch D 1-153.3 1244 1350 22.11% 20.98% 56.91%-0.88 +3.0 38
2018-04-29 Mondorf-les-Bains W 2-148.7 1024 1139 28.29% 21.36% 50.36%-0.52 +17.7 23
2018-04-29 @ UNA Strassen L 1-248.7 1139 1024 50.36% 21.36% 28.29%+0.52 -17.7 29
2018-04-29 Victoria Rosport L 1-347.7 1091 1012 53.86% 21.18% 24.96%+0.71 -32.7 33
2018-04-29 @ Hostert W 3-147.7 1012 1091 24.96% 21.18% 53.86%-0.71 +32.7 22
2018-04-30 Rodange 91 W 1-029.2 1391 981 78.52% 16.44% 5.03%+2.82 +2.2 54
2018-04-30 @ Progres Niedercorn L 0-129.2 981 1391 5.03% 16.44% 78.52%-2.82 -2.2 21
2018-05-04 Hostert D 2-258.0 1252 1058 65.34% 20.04% 14.62%+1.44 -3.4 38
2018-05-04 @ Differdange 03 D 2-258.0 1058 1252 14.62% 20.04% 65.34%-1.44 +3.4 34
2018-05-06 Fola Esch L 2-536.8 1063 1347 12.95% 19.70% 67.35%-1.60 -11.6 27
2018-05-06 @ RM Hamm Benfica W 5-236.8 1347 1063 67.35% 19.70% 12.95%+1.60 +11.6 44
2018-05-06 Progres Niedercorn L 2-535.5 1045 1393 9.45% 18.72% 71.83%-2.01 -8.5 22
2018-05-06 @ Victoria Rosport W 5-235.5 1393 1045 71.83% 18.72% 9.45%+2.01 +8.5 57
2018-05-06 Racing FC Union Luxembourg D 2-257.8 979 1207 16.89% 20.41% 62.70%-1.25 +3.0 22
2018-05-06 @ Rodange 91 D 2-257.8 1207 979 62.70% 20.41% 16.89%+1.25 -3.0 34
2018-05-06 UNA Strassen W 4-027.4 1247 1042 66.25% 19.89% 13.86%+1.51 +22.2 41
2018-05-06 @ Jeunesse Esch L 0-427.4 1042 1247 13.86% 19.89% 66.25%-1.51 -22.2 23
2018-05-06 Union Titus Petange W 4-353.4 1121 1135 41.94% 21.55% 36.50%+0.12 +12.6 32
2018-05-06 @ Mondorf-les-Bains L 3-453.4 1135 1121 36.50% 21.55% 41.94%-0.12 -12.6 28
2018-05-06 US Esch W 4-021.1 1479 814 87.19% 11.43% 1.37%+4.44 +1.9 62
2018-05-06 @ F91 Dudelange L 0-421.1 814 1479 1.37% 11.43% 87.19%-4.44 -1.9 4
2018-05-10 Rodange 91 W 7-127.4 1359 982 76.97% 17.08% 5.95%+2.60 +11.4 47
2018-05-10 @ Fola Esch L 1-727.4 982 1359 5.95% 17.08% 76.97%-2.60 -11.4 22
2018-05-11 Mondorf-les-Bains L 0-327.0 812 1134 10.75% 19.14% 70.10%-1.84 -13.3 4
2018-05-11 @ US Esch W 3-027.0 1134 812 70.10% 19.14% 10.75%+1.84 +13.3 35
2018-05-13 F91 Dudelange L 0-631.2 1248 1481 16.61% 20.37% 63.03%-1.27 -38.5 38
2018-05-13 @ Differdange 03 W 6-031.2 1481 1248 63.03% 20.37% 16.61%+1.27 +38.5 65
2018-05-13 RM Hamm Benfica W 6-036.0 1020 1051 39.44% 21.56% 39.00%+0.01 +79.6 26
2018-05-13 @ UNA Strassen L 0-636.0 1051 1020 39.00% 21.56% 39.44%-0.01 -79.6 27
2018-05-13 Jeunesse Esch W 1-045.4 1122 1269 24.57% 21.16% 54.27%-0.73 +20.1 31
2018-05-13 @ Union Titus Petange L 0-145.4 1269 1122 54.27% 21.16% 24.57%+0.73 -20.1 41
2018-05-13 Progres Niedercorn L 1-629.8 1061 1402 9.83% 18.85% 71.31%-1.96 -16.2 34
2018-05-13 @ Hostert W 6-129.8 1402 1061 71.31% 18.85% 9.83%+1.96 +16.2 60
2018-05-13 Victoria Rosport D 2-257.9 1204 1036 63.12% 20.35% 16.53%+1.28 -3.1 35
2018-05-13 @ Racing FC Union Luxembourg D 2-257.9 1036 1204 16.53% 20.35% 63.12%-1.28 +3.1 23
2018-05-19 Differdange 03 W 2-039.6 1147 1210 34.99% 21.54% 43.48%-0.19 +31.3 38
2018-05-19 @ Mondorf-les-Bains L 0-239.6 1210 1147 43.48% 21.54% 34.99%+0.19 -31.3 38
2018-05-19 Fola Esch W 2-154.3 1039 1370 10.32% 19.01% 70.66%-1.90 +24.4 26
2018-05-19 @ Victoria Rosport L 1-254.3 1370 1039 70.66% 19.01% 10.32%+1.90 -24.4 47
2018-05-19 Hostert W 3-238.7 1519 1045 81.16% 15.19% 3.65%+3.22 +1.4 68
2018-05-19 @ F91 Dudelange L 2-338.7 1045 1519 3.65% 15.19% 81.16%-3.22 -1.4 34
2018-05-19 Racing FC Union Luxembourg W 4-240.6 1418 1201 67.17% 19.74% 13.10%+1.58 +8.6 63
2018-05-19 @ Progres Niedercorn L 2-440.6 1201 1418 13.10% 19.74% 67.17%-1.58 -8.6 35
2018-05-19 UNA Strassen L 2-346.7 970 1100 26.56% 21.27% 52.17%-0.62 -9.9 22
2018-05-19 @ Rodange 91 W 3-246.7 1100 970 52.17% 21.27% 26.56%+0.62 +10.0 29
2018-05-19 Union Titus Petange W 2-043.4 971 1142 22.08% 20.98% 56.94%-0.88 +39.7 30
2018-05-19 @ RM Hamm Benfica L 0-243.4 1142 971 56.94% 20.98% 22.08%+0.88 -39.7 31
2018-05-19 US Esch W 2-133.1 1249 798 80.24% 15.65% 4.11%+3.07 +1.7 44
2018-05-19 @ Jeunesse Esch L 1-233.1 798 1249 4.11% 15.65% 80.24%-3.07 -1.7 4

Biggest Upsets

The 25 games where the underdog won despite the lowest pregame win probability. Underdog Win % is the winner's pregame chance of winning the game (lower = bigger upset). @ before a team name indicates the away side. An asterisk (*) after the date marks a playoff game.

# Date Underdog Win % Winning Team Losing Team
Team Elo Score Team Elo Score
1 2018-05-19 10.32% @ Victoria Rosport 1039 2 Fola Esch 1370 1
2 2017-11-04 12.77% RM Hamm Benfica 1147 3 @ Progres Niedercorn 1369 1
3 2018-03-14 14.71% @ Jeunesse Esch 1187 3 F91 Dudelange 1445 1
4 2018-04-22 14.79% Union Titus Petange 1097 2 @ Differdange 03 1289 0
5 2017-08-04 15.29% @ Hostert 1092 2 F91 Dudelange 1342 1
6 2017-08-24 18.18% @ Rodange 91 1075 2 Differdange 03 1288 1
7 2017-08-27 18.20% US Esch 991 2 @ Victoria Rosport 1139 1
8 2017-09-17 19.42% UNA Strassen 1013 2 @ Hostert 1147 1
9 2017-11-19 19.92% @ Hostert 1113 2 Differdange 03 1307 1
10 2018-03-18 21.25% @ UNA Strassen 937 3 Hostert 1116 0
11 2018-03-14 22.03% @ Racing FC Union Luxembourg 1128 2 Fola Esch 1300 1
12 2018-05-19 22.08% @ RM Hamm Benfica 971 2 Union Titus Petange 1142 0
13 2017-10-15 23.95% @ Victoria Rosport 1057 3 Jeunesse Esch 1210 1
14 2018-02-18 24.30% Racing FC Union Luxembourg 1090 3 @ RM Hamm Benfica 1174 0
15 2018-04-22 24.40% Racing FC Union Luxembourg 1180 2 @ Jeunesse Esch 1263 1
16 2018-05-13 24.57% @ Union Titus Petange 1122 1 Jeunesse Esch 1269 0
17 2018-03-31 24.62% @ UNA Strassen 995 4 Union Titus Petange 1142 2
18 2018-04-29 24.96% Victoria Rosport 1012 3 @ Hostert 1091 1
19 2017-08-24 24.97% @ Hostert 1126 2 Fola Esch 1269 0
20 2017-10-22 25.30% Victoria Rosport 1091 2 @ RM Hamm Benfica 1166 1
21 2017-08-13 25.76% @ Jeunesse Esch 1188 3 Differdange 03 1324 1
22 2018-04-29 28.29% @ UNA Strassen 1024 2 Mondorf-les-Bains 1139 1
23 2017-09-15 29.29% @ RM Hamm Benfica 1125 2 Jeunesse Esch 1232 1
24 2017-08-06 29.83% RM Hamm Benfica 1100 1 @ Union Titus Petange 1137 0
25 2018-03-11 30.17% Union Titus Petange 1110 3 @ Racing FC Union Luxembourg 1145 2

Biggest Elo Changes

The 25 games that resulted in the largest shift in Elo rating.

# Date Elo Δ Winning Team Losing Team Tie %
Team Score Elo Win % Team Score Elo Win %
1 2018-05-13 79.63 @ UNA Strassen 6 1020 39.44% RM Hamm Benfica 0 1051 39.00% 21.56%
2 2018-03-18 58.53 @ UNA Strassen 3 937 21.25% Hostert 0 1116 57.85% 20.90%
3 2018-02-18 55.41 Racing FC Union Luxembourg 3 1090 24.30% @ RM Hamm Benfica 0 1174 54.55% 21.14%
4 2017-08-19 53.41 Progres Niedercorn 6 1249 54.89% @ UNA Strassen 0 1096 23.99% 21.12%
5 2017-08-06 52.78 Jeunesse Esch 4 1135 40.91% @ US Esch 0 1091 37.53% 21.56%
6 2018-04-22 45.17 Union Titus Petange 2 1097 14.79% @ Differdange 03 0 1289 65.14% 20.07%
7 2017-11-04 40.52 RM Hamm Benfica 3 1147 12.77% @ Progres Niedercorn 1 1369 67.56% 19.66%
8 2018-05-19 39.70 @ RM Hamm Benfica 2 971 22.08% Union Titus Petange 0 1142 56.94% 20.98%
9 2018-03-14 39.17 @ Jeunesse Esch 3 1187 14.71% F91 Dudelange 1 1445 65.24% 20.06%
10 2018-05-13 38.47 F91 Dudelange 6 1481 63.03% @ Differdange 03 0 1248 16.61% 20.37%
11 2017-08-24 37.70 @ Hostert 2 1126 24.97% Fola Esch 0 1269 53.84% 21.19%
12 2017-11-26 33.61 Racing FC Union Luxembourg 2 1056 31.21% @ Victoria Rosport 0 1082 47.33% 21.46%
13 2017-10-15 33.26 @ Victoria Rosport 3 1057 23.95% Jeunesse Esch 1 1210 54.93% 21.12%
14 2017-08-13 32.69 @ Victoria Rosport 4 1122 42.83% UNA Strassen 1 1129 35.63% 21.54%
15 2018-04-29 32.66 Victoria Rosport 3 1012 24.96% @ Hostert 1 1091 53.86% 21.18%
16 2018-03-07 32.41 Victoria Rosport 4 1028 43.21% @ UNA Strassen 1 967 35.25% 21.54%
17 2017-08-13 32.18 @ Jeunesse Esch 3 1188 25.76% Differdange 03 1 1324 53.01% 21.23%
18 2018-04-08 31.86 Fola Esch 2 1308 34.05% @ Differdange 03 0 1312 44.43% 21.52%
19 2017-09-10 31.80 Fola Esch 4 1232 58.67% @ UNA Strassen 0 1044 20.50% 20.83%
20 2018-05-19 31.29 @ Mondorf-les-Bains 2 1147 34.99% Differdange 03 0 1210 43.48% 21.54%
21 2017-10-22 30.89 Union Titus Petange 3 1105 51.69% @ US Esch 0 979 27.01% 21.30%
22 2017-08-20 29.48 Rodange 91 2 1045 38.04% @ US Esch 0 1021 40.39% 21.56%
23 2018-03-31 29.39 @ UNA Strassen 4 995 24.62% Union Titus Petange 2 1142 54.22% 21.16%
24 2017-08-24 29.30 @ Progres Niedercorn 7 1302 64.61% Union Titus Petange 1 1117 15.24% 20.15%
25 2017-09-10 29.07 @ Differdange 03 6 1267 61.30% Victoria Rosport 1 1118 18.13% 20.57%

Most & Least Exciting Games

The season’s games ranked by excitement rating (0–100) — a blend of closeness, upset, team quality, and scoring. An asterisk (*) after the date indicates a playoff game.

# Date Excitement Winning Team Losing Team Tie %
Team Score Elo Win % Team Score Elo Win %
1 2017-08-20 62.6 @ Fola Esch 3 1272 65.55% Racing FC Union Luxembourg 3 1076 14.44% 20.01%
2 2018-02-18 62.5 @ Jeunesse Esch 3 1188 26.55% Fola Esch 3 1318 52.18% 21.27%
3 2017-11-26 62.2 @ Jeunesse Esch 3 1190 53.37% Union Titus Petange 3 1115 25.42% 21.21%
4 2018-04-15 58.1 @ UNA Strassen 2 1023 13.88% Differdange 03 2 1292 66.22% 19.90%
5 2018-05-04 58.0 @ Differdange 03 2 1252 65.34% Hostert 2 1058 14.62% 20.04%
6 2018-05-13 57.9 @ Racing FC Union Luxembourg 2 1204 63.12% Victoria Rosport 2 1036 16.53% 20.35%
7 2018-05-06 57.8 @ Rodange 91 2 979 16.89% Racing FC Union Luxembourg 2 1207 62.70% 20.41%
8 2017-08-05 57.7 @ UNA Strassen 2 1131 56.83% Rodange 91 2 1026 22.19% 20.99%
9 2017-10-14 57.6 @ Rodange 91 2 1055 28.51% RM Hamm Benfica 2 1167 50.12% 21.36%
10 2017-10-15 57.5 @ Hostert 2 1101 43.37% Union Titus Petange 2 1104 35.09% 21.54%
11 2018-05-19 54.3 @ Victoria Rosport 2 1039 10.32% Fola Esch 1 1370 70.66% 19.01%
12 2018-03-14 54.2 @ Progres Niedercorn 1 1390 80.62% UNA Strassen 1 930 3.92% 15.46%
13 2017-10-15 53.5 @ Racing FC Union Luxembourg 1 1069 9.34% F91 Dudelange 1 1420 71.98% 18.69%
14 2018-03-11 53.4 Union Titus Petange 3 1110 30.17% @ Racing FC Union Luxembourg 2 1145 48.40% 21.43%
15 2018-05-06 53.4 @ Mondorf-les-Bains 4 1121 41.94% Union Titus Petange 3 1135 36.50% 21.55%
16 2018-04-29 53.3 @ Fola Esch 1 1350 56.91% Jeunesse Esch 1 1244 22.11% 20.98%
17 2017-11-26 53.2 @ Progres Niedercorn 1 1354 67.45% Hostert 1 1134 12.86% 19.68%
18 2017-08-04 52.9 @ Hostert 2 1092 15.29% F91 Dudelange 1 1342 64.56% 20.16%
19 2017-08-06 52.9 @ Fola Esch 1 1292 63.63% Victoria Rosport 1 1118 16.08% 20.29%
20 2017-11-05 52.9 @ Fola Esch 1 1295 65.78% Mondorf-les-Bains 1 1096 14.25% 19.97%
21 2017-11-26 52.8 @ RM Hamm Benfica 1 1179 66.09% UNA Strassen 1 976 13.99% 19.92%
22 2018-03-31 52.8 @ Racing FC Union Luxembourg 1 1144 22.01% Differdange 03 1 1315 57.02% 20.97%
23 2017-09-29 52.7 @ Jeunesse Esch 1 1214 62.71% Rodange 91 1 1051 16.88% 20.41%
24 2018-03-18 52.7 @ US Esch 1 884 14.27% Racing FC Union Luxembourg 1 1148 65.75% 19.98%
25 2018-04-25 52.6 @ Mondorf-les-Bains 1 1143 62.96% Rodange 91 1 977 16.66% 20.37%
# Date Excitement Winning Team Losing Team Tie %
Team Score Elo Win % Team Score Elo Win %
1 2018-05-06 21.1 @ F91 Dudelange 4 1479 87.19% US Esch 0 814 1.37% 11.43%
2 2018-03-18 24.4 @ F91 Dudelange 4 1406 76.99% Victoria Rosport 0 1028 5.94% 17.07%
3 2018-04-11 24.9 @ F91 Dudelange 4 1449 76.20% RM Hamm Benfica 0 1087 6.43% 17.37%
4 2018-04-29 25.3 Differdange 03 3 1244 75.98% @ US Esch 0 822 6.57% 17.45%
5 2018-03-30 26.0 @ Fola Esch 9 1290 78.11% US Esch 0 889 5.27% 16.62%
6 2017-12-09 26.4 Progres Niedercorn 4 1349 70.10% @ Rodange 91 0 1027 10.76% 19.14%
7 2017-09-17 27.0 F91 Dudelange 4 1391 68.70% @ Victoria Rosport 0 1089 11.86% 19.44%
8 2017-10-22 27.0 @ Differdange 03 5 1263 68.03% UNA Strassen 0 1034 12.39% 19.58%
9 2018-05-11 27.0 Mondorf-les-Bains 3 1134 70.10% @ US Esch 0 812 10.75% 19.14%
10 2017-11-19 27.2 F91 Dudelange 6 1430 79.35% @ US Esch 1 935 4.58% 16.07%
11 2017-11-19 27.3 @ Progres Niedercorn 5 1329 67.52% Victoria Rosport 0 1107 12.81% 19.67%
12 2018-05-06 27.4 @ Jeunesse Esch 4 1247 66.25% UNA Strassen 0 1042 13.86% 19.89%
13 2018-05-10 27.4 @ Fola Esch 7 1359 76.97% Rodange 91 1 982 5.95% 17.08%
14 2017-08-06 27.5 @ Differdange 03 4 1303 66.48% Mondorf-les-Bains 0 1095 13.66% 19.86%
15 2017-09-10 27.6 @ F91 Dudelange 7 1363 70.78% Rodange 91 0 1096 10.24% 18.99%
16 2017-11-26 28.7 Fola Esch 3 1299 64.93% @ Rodange 91 0 1045 14.97% 20.10%
17 2017-11-26 29.0 @ Mondorf-les-Bains 3 1101 63.55% US Esch 0 928 16.15% 20.30%
18 2018-04-08 29.1 @ F91 Dudelange 2 1441 72.49% Racing FC Union Luxembourg 0 1147 8.96% 18.55%
19 2018-04-30 29.2 @ Progres Niedercorn 1 1391 78.52% Rodange 91 0 981 5.03% 16.44%
20 2017-09-10 29.7 Fola Esch 4 1232 58.67% @ UNA Strassen 0 1044 20.50% 20.83%
21 2018-05-13 29.8 Progres Niedercorn 6 1402 71.31% @ Hostert 1 1061 9.83% 18.85%
22 2018-02-18 30.1 @ Differdange 03 4 1290 77.20% US Esch 1 909 5.81% 16.99%
23 2018-04-11 30.1 @ Differdange 03 5 1280 72.52% Rodange 91 1 986 8.94% 18.54%
24 2018-03-11 30.7 @ Progres Niedercorn 3 1388 81.84% US Esch 1 896 3.33% 14.83%
25 2017-08-13 30.9 F91 Dudelange 2 1320 64.33% @ Mondorf-les-Bains 0 1073 15.48% 20.19%